Title :
Comparison of Different Digital Filters for QRS Complex Extraction from Electrocardiogram
Author :
Lakhwani, Rinky ; Singh, Ashutosh ; Ayub, S. ; Saini, J.P.
Author_Institution :
Dept. of Electron. & Commun. Eng., Bundelkhand Inst. of Eng. & Technol., Jhansi, India
Abstract :
In this paper a method for real time QRS complex extraction from Electrocardiogram using digital filter is proposed. The digital filters are used to detect the different signal features on an human heart electrocardiogram signal. The waveform feature of interest in this paper is the QRS complex of electrocardiogram signals taken from MIT-BIH Arrhythmia Database. The digital filters designed are FIR which are of a order 20 which is quite less. A comparison of different FIR digital filters based on Rectangular, Gaussian and Kaiser windows is done. All the work has been done with MATLAB®. The performance of digital filter is described by the comparison of mean square error (MSE) of QRS complex extracted, for three different patient records of MIT-BIH, by our method using different windows and QRS complex of referred original ECG recording of same MIT-BIH records. The MSE for Kaiser Window was minimum.
Keywords :
FIR filters; Gaussian processes; electrocardiography; feature extraction; mean square error methods; medical signal processing; signal detection; ECG recording; FIR filter; Gaussian window; Kaiser window; MIT-BIH arrhythmia database; MSE; QRS Complex Extraction; digital filter; human heart electrocardiogram signal; mean square error; patient record; rectangular window; signal feature detection; waveform feature; Band pass filters; Data mining; Electrocardiography; Feature extraction; Finite impulse response filter; Maximum likelihood detection; Digital filter; Electrocardiogram; QRS complex; Window; feature extraction;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
DOI :
10.1109/CICN.2012.68
